Triple

T21927790
Position Surface form Disambiguated ID Type / Status
Subject 54th New York Infantry Regiment E541485 entity
Predicate side P7149 FINISHED
Object Union NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Union | Statement: [54th New York Infantry Regiment, side, Union]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Union
Context triple: [54th New York Infantry Regiment, side, Union]
  • A. Union
    Union is a major interchange station in the Dubai Metro system where key lines intersect, serving as a central hub for passenger transfers.
  • B. Union chosen
    The Union was the federal government and Northern states of the United States that opposed the seceding Confederate states during the American Civil War.
  • C. Union
    Union is the commonly used short name for the Major League Soccer club Philadelphia Union.
  • D. Union
    Union is a town in Broome County, New York, that forms part of the Binghamton metropolitan area.
  • E. Union
    Union is a major transit hub in downtown Toronto that serves as the city's primary subway and railway station complex.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0c47d74488190a15119108794a307 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f123fc188481909c74fd5f1bd52258 completed April 28, 2026, 9:17 p.m.
Created at: April 16, 2026, 7:46 p.m.